Sulmona, Italy
Modelling and Forecasting Energy Markets
When:
02 September - 05 September 2025
Credits:
0 EC
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TStat Training
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Courses 2025
Online
Sulmona, Italy
Dynamic Panel Data Analysis
When:
01 July - 09 July 2025
Credits:
0 EC
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Online
Sulmona, Italy
Maximising the Potential of Stata’s New Python Capabilities
When:
20 May - 21 May 2025
Credits:
0 EC
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Online
Sulmona, Italy
Automating Your Research in Stata
When:
19 May - 21 May 2025
Credits:
0 EC
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Past courses
Online
Sulmona, Italy
Introduction to Partial Least Squares Structural Equation Modelling (Pls-Sem) Using Stata
When:
10 May - 10 May 2024
Credits:
0 EC
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Online
Sulmona, Italy
Estimating Linear Regression Models With Exogenous And Endogenous Variables In Stata
When:
05 June - 13 June 2023
Credits:
0 EC
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Online
Sulmona, Italy
Introduction to Machine Learning
When:
03 February - 10 February 2025
Credits:
0 EC
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Online
Sulmona, Italy
Visualizing Geospatial Data In Stata: Spatial Maps In Stata
When:
28 April - 28 April 2025
Credits:
0 EC
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Online
Sulmona, Italy
Parametric and Nonparametric Production Frontier Models in Stata
When:
16 November - 24 November 2023
Credits:
0 EC
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Online
Sulmona, Italy
Multivariate Garch (Volatility) Models For Risk Management
When:
26 January - 03 February 2023
Credits:
0 EC
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Online
Sulmona, Italy
Analysing Micro Data in Stata
When:
28 August - 03 September 2022
Credits:
0 EC
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Online
Sulmona, Italy
Time Series Modelling and Forecasting Using Stata
When:
06 May - 13 May 2025
Credits:
0 EC
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Online
Sulmona, Italy
Modelling and Forecasting Energy Markets
When:
24 June - 28 June 2024
Credits:
0 EC
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Online
Sulmona, Italy
Non-Linear Panel Data Models in Stata
When:
29 April - 30 April 2025
Credits:
0 EC
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Online
Sulmona, Italy
Linear Panel Data Models in Stata
When:
10 March - 14 March 2025
Credits:
0 EC
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Online
Sulmona, Italy
Introduction to Spatial Panel Data Models Using Stata
When:
17 October - 25 October 2022
Credits:
0 EC
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School information
Address:
Frankfurt
Post code:
Germany
City:
Frankfurt
Country:
Germany
E-mail:
training@tstat.eu
Phone:
+390864210101